Atharva Sharma is an experienced research engineer with a strong background in data science and machine learning. Currently serving as Lead Research Engineer at Nexxen since April 2022, Atharva leads a team focused on margin optimization for OpenRTB bids. Previously, as Senior Research Engineer at Amobee, Atharva developed distributed forecasting services for Demand Side Platform (DSP) planners, enhancing advertising budget planning. Atharva's earlier role as a Research Engineer at Samba TV involved creating an advertisement identification system utilizing video fingerprinting and recurrent neural networks. Atharva also has research experience from Florida State University, where a land cover classification system was architected, significantly improving accuracy in remote sensing imagery analysis. Academic qualifications include a Ph.D. in Computer Science from Florida State University and a Master's degree from Kurukshetra University.
April, 2022 - present